Modern computers are good at multitasking. Quad-core devices like the Pi 2 and 3 can share work between their cores, and your programs can run up to four times faster if you know how to code them in parallel. However, this is not always easy.
Programming languages like Python are sequential, executing instructions one at a time. What if you want to use all four cores? Luckily, there is help from the multiprocessing module, which allows parts of your program to run in parallel. To demonstrate how it works, we will adapt a program so that its central part runs in parallel, creating some beautiful fractal images in the process.
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